A Text Analysis Based Seamless Framework for Predicting Human Personality Traits from Social Networking Sites
Ramya Sharada K, Arti Arya, S Ragini, Harish Kumar, G Abinaya · International Journal of Information Technology and Computer Science · 2012
Predicting hu man behavior based on the usage of text on social networking sites can be a challenging area of interest to a particular commun ity.Text mining being a major interest in Data Min ing has vast applications in various fields.Clients can assess an individual's behavior using the proposed framework that is based on person's textual interaction with other people.In th is paper, a framework is proposed for predicting human behavior in three phases -Text Extraction, Text cleaning and Text Analysis.For cleaning text, all the stop words have been removed and then the text is utilized fo r further p rocessing.Then, the terms fro m the text are clustered based on semantic similarity and then gets associated with respective physiological parameters that identify a hu man behavior.This application is best suited for the fields of Criminal Sciences, Medical Sciences, Hu man Resource Depart ment and Polit ical Science and even for Matrimonial purposes.The proposed framework is applied on some famous wo rld known celebrities and the results are quite encouraging.